Machine Learning/AI Engineer

What Does a Machine Learning/AI Engineer Do?

Machine Learning/AI Engineers design, develop, and deploy artificial intelligence systems using machine learning algorithms. They apply advanced mathematical models to create predictive systems that learn from data, working with large datasets to train models using frameworks such as TensorFlow or PyTorch. They optimize model performance by fine-tuning hyperparameters, implementing feature engineering techniques, and building algorithms for classification, regression, clustering, and recommendation systems. They also collaborate with domain experts to ensure AI solutions align with organizational goals, staying current on the latest research to incorporate new methodologies into their work.

Key Responsibilities

• Designing, developing, and deploying AI systems using machine learning algorithms
• Training AI models on large datasets using frameworks like TensorFlow or PyTorch
• Fine-tuning hyperparameters and applying feature engineering techniques to optimize performance
• Building algorithms for classification, regression, clustering, and recommendation systems
• Applying advanced mathematical models to create predictive systems that learn from data
• Collaborating with domain experts to align AI solutions with organizational goals
• Staying current on AI research to incorporate new methodologies into development

Skills & Qualifications to Look For

• Proficiency with machine learning frameworks such as TensorFlow and PyTorch
• Strong foundation in mathematics, statistics, and predictive modeling
• Experience with feature engineering, hyperparameter tuning, and model optimization
• Familiarity with classification, regression, clustering, and recommendation algorithms
• Strong programming skills in Python
• Ability to communicate technical findings clearly to cross-functional and domain experts

Why Hire a Machine Learning/AI Engineer Through Howdy

Tap into LatAm's top 1% of Machine Learning/AI Engineers by hiring with Howdy. Howdy connects US companies with the top 1% of Machine Learning/AI Engineer talent across Latin America — pre-vetted for technical skill, English fluency, and cultural fit. With a 98% retention rate, the Machine Learning/AI Engineer you hire through Howdy sticks around for the long haul, backed by Howdy Communities that give your LatAm team members a local space to collaborate in person. We handle sourcing, vetting, onboarding, payroll, and compliance, so you can focus on building your team instead of managing the paperwork behind it. Hiring nearshore also means real savings: companies typically cut costs by 30–70% compared to hiring the same role in the US, without sacrificing quality or communication.

How to Hire a Machine Learning/AI Engineer with Howdy

Getting started is simple. Tell Howdy what you're looking for in a Machine Learning/AI Engineer — skills, seniority, and team fit — through the Howdy App or by booking a free demo. We'll match you with pre-vetted LatAm candidates within days, so you can interview and select the person who's the best fit for your team. Once you've made your choice, Howdy manages onboarding, contracts, payroll, benefits, and compliance across every country we operate in, so your new Machine Learning/AI Engineer can start contributing right away. From there, our team stays involved — offering ongoing support so your new hire, and your business, keep growing together.